Measuring the evolution of radical right-wing posting behaviors online
Researchers have previously explored how right-wing extremists build a collective identity online by targeting their perceived "threat," but little is known about how this "us" versus "them" dynamic evolves over time. This study uses a sentiment analysis-based algorithm...
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| Contributors: | ; |
| Format: | Electronic Article |
| Language: | English |
| Published: |
2020
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| In: |
Deviant behavior
Year: 2020, Volume: 41, Issue: 2, Pages: 216-232 |
| Online Access: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
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| 520 | |a Researchers have previously explored how right-wing extremists build a collective identity online by targeting their perceived "threat," but little is known about how this "us" versus "them" dynamic evolves over time. This study uses a sentiment analysis-based algorithm that adapts criminal career measures, as well as semi-parametric group-based modeling, to evaluate how users’ anti-Semitic, anti-Black, and anti-LGBTQ posting behaviors develop on a sub-forum of the most conspicuous white supremacy forum. The results highlight the extent to which authors target their key adversaries over time, as well as the applicability of a criminal career approach in measuring radical posting trajectories online. | ||
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